Paper Info
Title
Image Data Handling in Spatial Databases
Abstract
The recent advances in database technology have enabled the development of a new generation of spatial databases, where the DBMS is able to manage spatial and non-spatial data types together. Most spatial databases can deal with vector geometries (e.g., polygons, lines and points), but have limited facilities for handling image data. However, the widespread availability of high-resolution remote sensing images has improved considerably the application of images to environmental monitoring and urban management. Therefore, it is increasingly important to build databases capable of dealing with images together with other spatial and non-spatial data types. With this motivation, this paper describes a solution for efficient handling of large image data sets in a standard object-relational database management system. By means of adequate indexing, compression and retrieval techniques, satisfactory performances can be achieved using a standard DBMS, even for very large satellite images. This work is part of the development of the TerraLib library, which aims to provide a comprehensive environment for the development of GIS applications.
Year
Venue
Keywords
2003
GeoInfo
high resolution,management system,data handling,spatial database
Field
DocType
Citations 
Data mining,Polygon,Data set,Computer science,Search engine indexing,Data type,Object-based spatial database,GIS applications,Group method of data handling,Database,Spatial database
Conference
2
PageRank 
References 
Authors
0.39
6
4
Name
Order
Citations
PageRank
Lúbia Vinhas13412.90
ricardo cartaxo220.73
modesto souza320.73
Gilberto Câmara469169.10